Enhanced Particle Classification in Water Cherenkov Detectors Using Machine Learning: Modeling and Validation with Monte Carlo Simulation Datasets

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書誌詳細
出版年:	Atmosphere vol. 15, no. 9 (2024), p. 1039
第一著者:	Ticiano Jorge Torres Peralta
その他の著者:	Molina, Maria Graciela, Asorey, Hernan, Sidelnik, Ivan, Antonio Juan Rubio-Montero, Dasso, Sergio, Mayo-Garcia, Rafael, Taboada, Alvaro, Otiniano, Luis, Pulinets, Sergey
出版事項:	MDPI AG
主題:	Cerenkov counters Datasets Observational learning Atmospheric radiation Unsupervised learning Atmosphere Downward long wave radiation Machine learning Particle settling Radiation Computer simulation Data analysis Detectors Clustering Earth atmosphere Algorithms Observatories Real time Cosmic radiation Solar cycle Monte Carlo simulation Atmospheric conditions Sea level Energy Cosmic rays Fluctuations Learning algorithms Optics Charged particles Cosmic ray showers Magnetospheres Sensors Neural networks
オンライン･アクセス:	Citation/Abstract Full Text + Graphics Full Text - PDF
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